AI/ML Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$77,600–$176,000 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $127k
$56k most similar roles pay here $276k

This role pays less than 90% of similar roles. Most pay $162,000–$235,762 — the shaded band above. At the midpoint, this role pays about $127k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 780 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 757 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · AI/ML Engineer

As an AI/ML Engineer, you will join the team to design, create, and implement complete artificial intelligence and machine learning systems that transform client operations and increase data accessibility. You will be responsible for building production-grade solutions while ensuring they scale with infrastructure and integrate into various mission environments. Your daily work involves developing software systems to solve complex challenges within the Defense and Intelligence sectors. To succeed in this role, you must possess experience in deep learning, computer vision, neural networks, NLP, or signal processing. You will utilize technical tools including TensorFlow, PyTorch, llama.cpp, vLLM, Docker, Kubernetes, Kafka, Red Panda, and Confluent. Additionally, the role requires proficiency in MLOps, software engineering, and deployment across cloud environments like AWS and Azure to manage data brokering and model integration for mission-critical requirements.

What you'll do

  • Design and implement complete AI systems to transform client operations and increase data accessibility.
  • Architect machine learning solutions that scale with infrastructure based on system usage.
  • Develop production-grade ML models using frameworks like TensorFlow, PyTorch, llama.cpp, or vLLM.
  • Manage MLOps workflows to ensure the successful deployment and integration of models into mission environments.
  • Optimize AI and ML systems to meet evolving requirements in the Defense and Intelligence sectors.
  • Deploy and manage data brokering solutions using tools such as Kafka, Red Panda, or Confluent.
  • Integrate machine learning models into various production environments using Docker and Kubernetes.

What we're looking for

  • Master's degree (preferred).
  • 2+ years of experience as a ML engineer, data scientist, analyst, or researcher.
  • 2+ years of experience in data science or research training and deploying models across multiple modalities.
  • Experience building production-grade ML solutions.
  • Experience with programming and ML frameworks such as TensorFlow, PyTorch, llama.cpp, or vLLM.
  • Experience with deep learning, computer vision, neural networks, NLP, or signal processing.
  • Ability to obtain a Secret clearance; Top Secret clearance (preferred).

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